Acknowledgments -- Preface -- What is decision analysis? And why should I care? -- How to start framing a DA problem: how can we work together? -- The objectives hierarchy: what do we want? -- Decisions and alternatives: what can we do? -- Influence diagrams: what do we know? -- Uncertainty assessment: the boundary between known and unknown -- Building a deterministic model: time to run the numbers -- Tornado diagrams: figuring out what is important -- Cumulative probability: looking at the range of outcomes -- Value of information: how much is it worth to know? -- Multiattribute decision analysis: there's more to life than money -- Other topics: more things to think about -- Notes -- References -- Index.